topholt — CS2 Stats

76561198006471073[U:1:46205345]Steam profile ↗✓ No bans

4,624Tracked matches63%Win rate2020Tracked since

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 10 · 2,750 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning54

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY62–38Last 10062%Win rateLWLLLLWWWL

Last 10 vs previous 10: -50pp win rate · -0.06 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.4

Aggression6.7

Utility7.8

Positioning5.4

Opening Duels2.9

Clutch4.0

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like Twistzz 92% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Reaction time. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.4

Positioning5.4

Utility7.8

Mechanics4.8

Opening Duels2.9

Win Impact9.4

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time561ms−15ms

first ⅓ avg 577ms → last ⅓ avg 561ms

Headshot accuracy23.9%+3.3%

first ⅓ avg 20.5% → last ⅓ avg 23.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — cache 13–8

13–1Biggest win — anubis

9Longest win streak

13–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 78% over 9ancientWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	34	21–13	62%	0.02
nuke	S	20	15–5	75%	0.03
ancient	C	13	5–8	38%	-0.00
cache	S	9	6–3	67%	0.02
overpass	S	9	7–2	78%	0.02
anubis	C	5	2–3	40%	0.02
dust2	C	5	2–3	40%	-0.01
mirage	—	4	3–1	75%	-0.00
italy	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,803Matches

52%Win rate

1.24Avg K/D

86.5ADR

46%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

15Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	482	58%	1.30	18.8
Nuke	405	54%	1.14	16.9
Ancient	402	47%	1.09	16.5
Mirage	196	46%	1.01	15.6
Vertigo	171	54%	1.21	17.7
Overpass	163	50%	1.13	17.9
Anubis	136	40%	1.00	15.2
Train	94	54%	1.30	17.1

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.8%Headshot accuracy

34.7%Accuracy (enemy spotted)

36.2%Spray accuracy

71.6%Counter-strafing

9.5°Preaim

559msReaction time

37.6%T opening success

45.8%CT opening success

0.71Enemies flashed / flash

7.7%Flash assists

10.39HE damage / grenade

18.67Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 37.5873% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	19–22	-0.01	19%	27 Aug →
inferno	13–10	0.06	29%	27 Aug →
inferno	0–4	-0.03	17%	7 Aug →
inferno	10–13	-0.03	26%	4 Aug →
inferno	10–13	-0.00	39%	31 Jul →
nuke	4–13	-0.06	13%	29 Jul →
nuke	16–12	-0.00	15%	26 Jul →
inferno	13–4	-0.02	21%	26 Jul →
cache	13–5	-0.01	29%	26 Jul →
ancient	3–13	-0.02	30%	23 Jul →
cache	13–10	0.01	23%	23 Jul →
mirage	13–8	-0.01	17%	22 Jul →
cache	13–3	0.07	28%	22 Jul →
nuke	13–8	0.09	20%	22 Jul →
inferno	16–14	0.02	31%	18 Jul →
nuke	13–5	0.09	31%	16 Jul →
inferno	13–7	0.01	24%	16 Jul →
nuke	13–7	0.06	27%	13 Jul →
cache	13–8	0.14	26%	11 Jul →
cache	8–13	-0.05	23%	11 Jul →
anubis	16–13	0.09	18%	10 Jul →
cache	6–13	-0.02	18%	10 Jul →
inferno	9–13	-0.02	24%	10 Jul →
nuke	13–9	-0.02	31%	8 Jul →
inferno	13–6	-0.01	32%	8 Jul →
italy	13–3	0.09	24%	8 Jul →
anubis	10–13	-0.04	16%	3 Jul →
ancient	13–10	0.04	16%	3 Jul →
inferno	13–4	0.04	17%	3 Jul →
ancient	4–13	-0.03	37%	28 Jun →
anubis	13–1	0.09	16%	27 Jun →
inferno	10–13	0.03	29%	26 Jun →
nuke	13–6	0.08	25%	22 Jun →
inferno	13–11	0.02	18%	22 Jun →
dust2	5–13	0.01	25%	14 Jun →
inferno	13–11	0.02	30%	13 Jun →
inferno	13–11	0.02	18%	13 Jun →
nuke	13–8	0.01	17%	12 Jun →
inferno	13–6	0.04	28%	11 Jun →
dust2	13–9	0.04	14%	5 Jun →
inferno	13–10	0.04	23%	4 Jun →
overpass	13–3	-0.01	20%	3 Jun →
inferno	13–9	-0.00	26%	28 May →
ancient	14–16	-0.03	24%	22 May →
inferno	13–7	0.05	27%	22 May →
nuke	13–6	0.09	29%	21 May →
nuke	11–13	0.02	29%	21 May →
cache	11–13	0.00	24%	21 May →
inferno	13–11	0.01	15%	11 May →
dust2	13–6	0.01	26%	11 May →
mirage	13–7	0.00	16%	11 May →
mirage	8–13	-0.01	20%	11 May →
nuke	4–13	0.00	27%	10 May →
ancient	13–11	0.03	24%	7 May →
nuke	13–9	0.06	23%	7 May →
cache	13–11	0.05	29%	4 May →
cache	13–11	0.02	14%	29 Apr →
nuke	13–7	0.04	23%	28 Apr →
ancient	13–8	0.03	14%	27 Apr →
ancient	13–10	0.02	25%	27 Apr →
overpass	11–13	-0.02	13%	25 Apr →
nuke	7–13	-0.00	30%	24 Apr →
overpass	13–7	0.10	24%	11 Apr →
ancient	13–9	0.01	23%	11 Apr →
inferno	13–6	0.02	12%	9 Apr →
inferno	8–13	-0.02	28%	8 Apr →
overpass	13–8	-0.00	16%	4 Apr →
inferno	23–25	0.03	15%	1 Apr →
ancient	10–13	0.04	28%	19 Mar →
nuke	8–13	0.01	13%	19 Mar →
nuke	13–8	0.01	21%	13 Mar →
ancient	9–13	-0.05	25%	11 Mar →
inferno	9–13	-0.00	20%	3 Mar →
inferno	16–13	-0.03	17%	3 Mar →
nuke	13–7	0.13	36%	2 Mar →
anubis	11–13	-0.01	13%	21 Feb →
dust2	5–13	-0.10	0%	20 Feb →
inferno	5–13	-0.01	23%	17 Feb →
inferno	11–13	-0.03	11%	12 Feb →
dust2	10–13	-0.04	35%	10 Feb →
nuke	13–11	0.08	37%	10 Feb →
ancient	2–13	-0.04	7%	10 Feb →
overpass	3–1	-0.05	0%	10 Feb →
overpass	16–14	0.04	23%	9 Feb →
overpass	13–10	0.06	26%	8 Feb →
nuke	13–7	-0.04	17%	8 Feb →
overpass	13–11	-0.01	22%	7 Feb →
ancient	10–13	-0.05	22%	7 Feb →
inferno	10–13	0.03	24%	7 Feb →
nuke	13–5	0.02	30%	7 Feb →
ancient	5–13	0.04	19%	6 Feb →
overpass	10–13	0.05	12%	6 Feb →
inferno	17–19	-0.00	34%	6 Feb →
inferno	13–7	0.01	25%	5 Feb →
anubis	2–13	-0.04	16%	4 Feb →
mirage	13–10	0.01	21%	4 Feb →
inferno	13–6	0.07	18%	31 Jan →
inferno	13–11	0.04	17%	31 Jan →
inferno	13–2	0.12	32%	31 Jan →
inferno	13–9	0.08	18%	21 Jan →